Latest Job Opportunities at Intelligent Debt Management

Key Responsibilities:

Content production

• As a key resource in the content team, you will produce compelling, impactful copy across our brands and platforms.
• You will conceptualise and produce content, ensuring all copy aligns with brand guidelines and industry standards.
• You will have an acute visual imagination and be able to conceptualise how campaigns may be represented by the design team.
• You will be adept at every kind of content production, from social media posts, banner copy, web content, and display ads, to Google Ads, scripts, and more.
• You will report to the head of content, who will provide you with project specifications and deadlines.

Key attributes and competencies

• A team player, above all else.
• Agile, flexible, and calm under pressure.
• A positive attitude.
• Accuracy while multitasking.
• Strong sense of self-discipline and ethics.
• Organised, with good time-management skills.

Requirements

• A bachelor’s degree in marketing, communications, journalism, or a related field.
• Proficient in MS Office 365, Google Docs, project management systems, Microsoft Teams, etc.
• Proven experience as a financial copywriter (non-negotiable).
• Exceptional writing, with a stand-out portfolio that demonstrates conceptual thinking and execution thereof across channels.
• Strong digital skills.
• Proofreading skills.
• Familiarity with SEO is an advantage.
• Deadline-driven, with strong project management skills.
• Good presentation skills.
• Strong administrative and organisational skills.
• Must align to IDM’s values.

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What does IDM offer its employees:

• Hybrid (onsite and remote) work environment
• Competitive packages, including medical and RA contributions
• A values and purpose driven working culture
• Bursary program and encouragement to pursue future studies
• Merrit based promotions in a fast-growing company

Minimum requirements:

• Degree in relevant areas. Commerce, IT, Data, Project Management, Engineering, etc.
• 3 to 15 years of experience in the areas of product management, product ownership and/or development.
• Understanding of different technology platforms, their features and being able to work with solution architects/engineering leads and write detailed product requirement documents, manage future roadmaps and deliverables 
• Ability to function with a high degree of autonomy 
• Able to continuously balance between the customer and commercial needs
• Customer experience design of digital products and services
• Analytics/AB/multivariate testing and related tools 
• Data-driven decision making 

Advantageous requirements:

• 5 years’ experience in data intensive or fintech industries.
• Experience with coding languages
• Experience with project management systems like Jira.
• Worked with credit or transactional data.
• Experience in agile methodologies, such as Scrum, Kanban, Test Driven Design and Behavioural Driven Design

Key responsibilities:

• Work with internal and external customers to analyse needs and align product roadmap to strategic goals.
• Owns the product roadmap.
• Develop scope and define backlog items (epic/features/user stories) that guide the Agile software development team.
• Solve product related problems, make decisions, complete trade-off analysis to stay on track towards business deliverable commitments.
• Draft key objectives and results, strategies and apply the data for the product to make business decisions.
• Possess a fundamental understanding of end-to-end customer experience integration and dependencies.
• Collaborate with stakeholders during the visioning and concept development of a product.
• Accountable for the created product(s), delivering in the product model and communicating the product needs with business partners.
• Asses value, develop cases, and prioritize stories, epics and themes to ensure work focuses on those with a maximum value that are aligned with product strategy.
• Identifies and help the client understand the business model, value and value proposition.
• Develop and maintain an appropriately prioritized backlog of user stories for implementation.
• Act as an ambassador for the product internally and externally and as the primary contact for queries related to the product.
• Develop appropriately detailed specifications for the product features so they are clearly understood by the development teams.
• Represents team in front of stakeholders, clients or users.
• Work closely with product management and senior management in order to create a product that fits the company portfolio.
• Research and analyze market, the users, and the roadmap for the product
• Follow our competitors and the industry
• Increase an understanding of Agile practices, new technology opportunities and other new trends.

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Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Certifications in Azure, Azure Databricks Data Engineering or similar or equivalent practical experience.

Candidates must be able to demonstrate:  

• Extensive proven experience as a data engineer or in a similar role, designing and implementing data architectures, data integration and ETL processes. Practical experience in Azure, Azure Data Factory and Azure Databricks is preferred.
• Proven experience in Python/PySpark and SQL/SparkSQL programming skills.
• At least 4 years of experience in Information Technology – specifically in data management.
• Strong knowledge of data management and storage solutions, including SQL Server Database, Azure Data Lake Storage or similar.
• Ability to lead and innovate in a fast-paced and evolving technology landscape.
• Strong communication and leadership abilities.
• Excellent attention to detail and problem solving skills related to data, data structures and algorithms.

Key responsibilities will include:

• Lead the design and implementation of scalable data solutions on the Microsoft Azure cloud platform, including Azure Databricks.
• Develop, maintain and optimise robust data pipelines for data ingestion, processing, and transformation to support analytics, machine learning and other data-driven services.
• Ensure data security, quality and integrity across all of the pipelines and related data processes.
• Define the mechanism through which skilled decentralized analytics teams can contribute to the engineering processes.
• Work closely with the Head of Data and enterprise architecture to ensure that the data engineering vision is aligned with the systems architecture and the data strategy.
• Collaborate with the data product owner, analysts, data scientists, and business stakeholders to understand data requirements and implement effective data workflows.
• Assist in data initiatives and support technical teams including architects, software developers, and data scientists.
• Provide leadership and mentoring to a small, skilled team of data engineers.